Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification
10.1021/acsnano.0c07464
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AMER CHEMICAL SOC
2021
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/188862 |
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sg-nus-scholar.10635-1888622024-04-16T11:15:37Z Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification Zhu, Jianxiong Ren, Zhihao Lee, Chengkuo ELECTRICAL AND COMPUTER ENGINEERING Science & Technology Physical Sciences Technology Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science mid-infrared spectroscopy healthcare diagnosis volatile organic compound machine learning triboelectric nanogenerator 10.1021/acsnano.0c07464 ACS NANO 15 1 894-903 2021-04-09T01:58:15Z 2021-04-09T01:58:15Z 2021/01/26 2021-04-08T17:06:01Z Article Zhu, Jianxiong, Ren, Zhihao, Lee, Chengkuo (2021/01/26). Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification. ACS NANO 15 (1) : 894-903. ScholarBank@NUS Repository. https://doi.org/10.1021/acsnano.0c07464 19360851 1936086X https://scholarbank.nus.edu.sg/handle/10635/188862 en AMER CHEMICAL SOC Elements |
| institution |
National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
Science & Technology Physical Sciences Technology Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science mid-infrared spectroscopy healthcare diagnosis volatile organic compound machine learning triboelectric nanogenerator |
| spellingShingle |
Science & Technology Physical Sciences Technology Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science mid-infrared spectroscopy healthcare diagnosis volatile organic compound machine learning triboelectric nanogenerator Zhu, Jianxiong Ren, Zhihao Lee, Chengkuo Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| description |
10.1021/acsnano.0c07464 |
| author2 |
ELECTRICAL AND COMPUTER ENGINEERING |
| author_facet |
ELECTRICAL AND COMPUTER ENGINEERING Zhu, Jianxiong Ren, Zhihao Lee, Chengkuo |
| format |
Article |
| author |
Zhu, Jianxiong Ren, Zhihao Lee, Chengkuo |
| author_sort |
Zhu, Jianxiong |
| title |
Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| title_short |
Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| title_full |
Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| title_fullStr |
Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| title_full_unstemmed |
Toward Healthcare Diagnoses by Machine-Learning-Enabled Volatile Organic Compound Identification |
| title_sort |
toward healthcare diagnoses by machine-learning-enabled volatile organic compound identification |
| publisher |
AMER CHEMICAL SOC |
| publishDate |
2021 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/188862 |
| _version_ |
1800914785437483008 |